Emergency Medicine

Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have...

Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Littl...

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue ...

Burn wound classification model using spatial frequency-domain imaging and machine learning.

Accurate assessment of burn severity is critical for wound care and the course of treatment. Delays ...

Opportunities and challenges using artificial intelligence in ADME/Tox.

A recent conference organized a panel of scientists representing small and big pharma companies, who...

A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

The failure to predict kidney toxicity of new chemical entities early in the development process bef...

Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm...

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinic...

Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Early identification of high-risk septic patients in the emergency department (ED) may guide appropr...

Animal Bite in a 6-month-old Child and Facial Injury with Associated Unusual Nasal Injury: Management of Injuries along with 1-year Follow-up.

UNLABELLED: In children, accidental injuries (AI) are the most common cause of major trauma. Althoug...

Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection.

For the safety assessment of pharmaceuticals, initial data management requires accurate toxicologica...

Evaluation of Depth Cameras for Use as an Augmented Reality Emergency Ruler.

Children are rarely affected by medical emergencies. The experience of doctors or paramedics with ch...

Building deep learning models for evidence classification from the open access biomedical literature.

We investigate the application of deep learning to biocuration tasks that involve classification of ...

Automatic hip geometric feature extraction in DXA imaging using regional random forest.

BACKGROUND: Hip fracture is considered one of the salient disability factors across the global popul...

Oy Vey! A Comment on "Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships Outperforming Animal Test Reproducibility".

Recent Advances in Machine Learning Methods for Predicting Heat Shock Proteins.

BACKGROUND: As molecular chaperones, Heat Shock Proteins (HSPs) not only play key roles in protein f...

Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based tri...

Evaluation of the potential nephrotoxicity and mechanism in rats after long-term exposure to the traditional Tibetan medicine tsothel.

CONTEXT: Tsothel, a traditional Tibetan medicine, is regarded as 'the king of essences'. Nevertheles...

[A Surgical Case of AFP-Producing Gastric Cancer Discovered by Rupture of Liver Metastatic Lesion].

A 57-year-old man visited our hospital with right hypochondralgia. Abdominal contrast CT showed a 10...

Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm.

PURPOSE: Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require emergency depa...

Hydrocortisone, Vitamin C and thiamine for the treatment of sepsis and septic shock following cardiac surgery.

BACKGROUND AND AIMS: The effect of vitamin C on vasopressor requirement in critically ill patients h...